US10636024B2 - Self-service method and device - Google Patents

Self-service method and device Download PDF

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Publication number
US10636024B2
US10636024B2 US15/985,413 US201815985413A US10636024B2 US 10636024 B2 US10636024 B2 US 10636024B2 US 201815985413 A US201815985413 A US 201815985413A US 10636024 B2 US10636024 B2 US 10636024B2
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Prior art keywords
article
shopping cart
shelf
video data
matching procedure
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US15/985,413
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US20190164142A1 (en
Inventor
Matthew Robert Scott
Dinglong HUANG
Kai Fu
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Shanghai Yuepu Investment Center LP
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Shenzhen Malong Technologies Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00—Payment architectures, schemes or protocols
    • G06Q20/08—Payment architectures
    • G06Q20/20—Point-of-sale [POS] network systems
    • G06Q20/208—Input by product or record sensing, e.g. weighing or scanner processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
    • G06K17/0022—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
    • G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
    • G06K7/10544—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation by scanning of the records by radiation in the optical part of the electromagnetic spectrum
    • G06K7/10821—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation by scanning of the records by radiation in the optical part of the electromagnetic spectrum further details of bar or optical code scanning devices
    • G06K7/1092—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation by scanning of the records by radiation in the optical part of the electromagnetic spectrum further details of bar or optical code scanning devices sensing by means of TV-scanning
    • G06K9/00671—
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/20—Scenes; Scene-specific elements in augmented reality scenes
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07G—REGISTERING THE RECEIPT OF CASH, VALUABLES, OR TOKENS
    • G07G1/00—Cash registers
    • G07G1/0036—Checkout procedures
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07G—REGISTERING THE RECEIPT OF CASH, VALUABLES, OR TOKENS
    • G07G1/00—Cash registers
    • G07G1/0036—Checkout procedures
    • G07G1/0045—Checkout procedures with a code reader for reading of an identifying code of the article to be registered, e.g. barcode reader or radio-frequency identity [RFID] reader
    • G07G1/0054—Checkout procedures with a code reader for reading of an identifying code of the article to be registered, e.g. barcode reader or radio-frequency identity [RFID] reader with control of supplementary check-parameters, e.g. weight or number of articles
    • G07G1/0072—Checkout procedures with a code reader for reading of an identifying code of the article to be registered, e.g. barcode reader or radio-frequency identity [RFID] reader with control of supplementary check-parameters, e.g. weight or number of articles with means for detecting the weight of the article of which the code is read, for the verification of the registration
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07G—REGISTERING THE RECEIPT OF CASH, VALUABLES, OR TOKENS
    • G07G1/00—Cash registers
    • G07G1/0036—Checkout procedures
    • G07G1/0045—Checkout procedures with a code reader for reading of an identifying code of the article to be registered, e.g. barcode reader or radio-frequency identity [RFID] reader
    • G07G1/0081—Checkout procedures with a code reader for reading of an identifying code of the article to be registered, e.g. barcode reader or radio-frequency identity [RFID] reader the reader being a portable scanner or data reader

Definitions

  • the present invention relates to the field of self-service, and particularly to a self-service method and device.
  • embodiments of the present invention provide a self-service method and device which are simple and easy to implement, widely applicable, less resource-consuming and applicable to areas such as a shopping mall.
  • the present invention provides the following specific embodiments.
  • An embodiment of the present invention provides a self-service method applicable to a shopping mall provided with a plurality of shelves and a plurality of shopping carts. Specifically, each of the shelves is provided with a camera. The shopping carts are respectively pre-provided with different electronic tags. The different electronic tags correspond to different IDs. The method includes:
  • each of the shelves is further provided with an electronic tag reader.
  • the electronic tag reader is configured to acquire the ID contained in the electronic tag of the shopping cart which is away from the shelf at a distance less than a certain value.
  • the step of acquiring the ID of the shopping cart, determining the placed article, and associating the ID with the article includes:
  • each of the shelves corresponds to a certain type of article within a preset period of time.
  • the step of identifying a picture of article captured by the camera so as to determine the placed article includes:
  • a second matching procedure is performed, in which the captured picture of article is matched with pre-stored pictures of all articles in the shopping mall, so as to determine the article corresponding to the picture of article.
  • the method further includes:
  • An embodiment of the present invention further provides a self-service device applicable to a shopping mall provided with a plurality of shelves and a plurality of shopping carts. Specifically, each of the shelves is provided with a camera. The shopping carts are respectively pre-provided with different electronic tags. The different electronic tags correspond to different IDs.
  • the device includes:
  • the shelf is further provided with an electronic tag reader.
  • the electronic tag reader is configured to acquire the ID contained in the electronic tag of the shopping cart which is away from the shelf at a distance less than a certain value.
  • the associating module is configured to:
  • each of the shelves corresponds to a certain type of article within a preset period of time.
  • the identifying a picture of article captured by the camera so as to determine the placed article, performed by the associating module, includes:
  • the device further includes a processing module configured to perform a second matching procedure, in which the captured picture of article is matched with pre-stored pictures of all articles in the shopping mall, so as to determine the article corresponding to the picture of article, if the article corresponding to the captured picture of article cannot be determined through the first matching procedure.
  • a processing module configured to perform a second matching procedure, in which the captured picture of article is matched with pre-stored pictures of all articles in the shopping mall, so as to determine the article corresponding to the picture of article, if the article corresponding to the captured picture of article cannot be determined through the first matching procedure.
  • the device further includes:
  • the embodiments of the present invention provide a self-service method and device applicable to a shopping mall provided with a plurality of shelves and a plurality of shopping carts.
  • each of the shelves is provided with a camera.
  • the shopping carts are respectively pre-provided with different electronic tags.
  • the different electronic tags correspond to different IDs.
  • the method includes: acquiring, by the camera of each of the shelves, video data associated with the shopping cart at a distance from the shelf less than a preset value; determining, based on identification of the video data, whether an article is being placed into the shopping cart; if it is determined that an article is being placed into the shopping cart, acquiring the ID of the shopping cart, determining the placed article and associating the ID with the article; displaying to a user a total sum of all articles associated with the ID, when detecting the shopping cart corresponding to the ID is located in a preset payment area of the shopping mall; and executing a permitting procedure for allowing the shopping cart corresponding to the ID to pass, upon reception of a message fed back from the payment area and indicating that the total sum corresponding to the ID has been cleared.
  • Self-service shopping realized by providing such cameras and electronic tags, is simple and easy to implement, widely applicable, less resource-consuming and thus can be applied to areas such as a relatively big shopping mall.
  • FIG. 1 is a schematic flow chart of a self-service method provided by an embodiment of the present invention
  • FIG. 2 is a schematic diagram of the structure of a self-service device provided by an embodiment of the present invention
  • FIG. 3 is a schematic diagram of the structure of a self-service device provided by an embodiment of the present invention.
  • FIG. 4 is a schematic diagram of the structure of a self-service device provided by an embodiment of the present invention.
  • terms such as “include” or “may include” used in the various embodiments of the present disclosure indicate the presence of the disclosed functions, operations or elements, and do not restrict from adding one or more functions, operations or elements.
  • terms such as “include”, “have” and the derivative versions thereof only intend to indicate particular features, numbers, steps, operations, elements, components or combinations thereof, but should not be construed as excluding the possibility that one or more other features, numbers, steps, operations, elements, components or the combinations thereof may be present, or that one or more features, numbers, steps, operations, elements, components or the combinations thereof may be added.
  • the expression “or” or “at least one of A and/or B” includes any or all combinations of the listed items.
  • the expression “A or B” or “at least one of A and/or B” may include A, may include B or may include both A and B.
  • first and second used in the various embodiments of the present disclosure may embellish various constituent elements of the various embodiments, but not limit the corresponding constituent elements.
  • the above expressions do not limit the sequence and/or importance of the elements.
  • Such expressions are used only for the purpose of distinguishing one element from other elements.
  • a first user device and a second user device represent different user devices, though both are user devices.
  • a first element may be referred to as a second element
  • a second element may be referred to as a first element, without departing from the scope of the various embodiments of the present disclosure.
  • a constituent element is described to be “connected” to another constituent element, it means that a first constituent element may be directly connected to a second constituent element, and a third constituent element may be connected between the first constituent element and the second constituent element.
  • a constituent element is “directly connected” to another constituent element, it may be interpreted that there is no third constituent element existing between the first constituent element and the second constituent element.
  • the term “user” used in the various embodiments of the present disclosure may indicate a person who uses an electronic device or a device which uses an electronic device (e.g. an artificial intelligent electronic device).
  • the first embodiment of the present invention discloses a self-service method applicable to a shopping mall provided with a plurality of shelves and a plurality of shopping carts. Specifically, each of the shelves is provided with a camera. The shopping carts are respectively pre-provided with different electronic tags. Different electronic tags correspond to different IDs (Identifications). As shown in FIG. 1 , the method includes the following steps.
  • step 101 video data associated with the shopping cart is acquired, by the camera, the shopping cart being at a distance from the shelf less than a preset value.
  • the camera provided on the shelf is configured to monitor the surroundings around the shelf over a preset range.
  • the specific preset range may be set according to experience, and may be specifically determined according to a distance between a shelf and a spot where a user fetches an article from the shelf under normal circumstances. It can be well determined from the acquired video data whether an article is being transferred between the shelf and the shopping cart.
  • step 102 it is determined whether an article is being placed into the shopping cart, based on identification of the video data.
  • each of the pictures contained in the video data is identified to determine a trajectory of the article and the position of the shopping cart, so as to determine whether an article is being placed into the shopping cart.
  • step 103 the ID of the shopping cart is acquired, the placed article is determined and the ID is associated with the article, if it is determined that an article is being placed into the shopping cart.
  • the ID of the shopping cart is acquired, the placed article is determined and then the ID and the article will be associated with each other.
  • each of the shelves is further provided with an electronic tag reader.
  • the electronic tag reader is configured to acquire the ID contained in the electronic tag of the shopping cart which is away from the shelf at a distance less than a certain value.
  • the step of acquiring the ID of the shopping cart, determining the placed article and associating the ID with the article includes:
  • each of the shopping carts is pre-provided with an electronic tag
  • each of the shelves is provided with the electronic tag reader which acquires the ID of the shopping cart by reading the electronic tag.
  • the distance may be set according to the distance between the shopping cart and a shelf when a user is fetching an article from the shelf under normal circumstances.
  • An article may be identified based on an article picture that is taken.
  • pictures of all articles in the shopping mall are captured in advance; specifically, the pictures may be taken from various angles, so as to form a picture library of articles.
  • the article can be determined by matching the picture of article with the pictures in the picture library.
  • each of the shelves corresponds to a certain type of article within a preset period of time.
  • the step of identifying a picture of article captured by the camera so as to determine the placed article includes:
  • a second matching procedure is performed, in which the captured picture of article is matched with pre-stored pictures of all articles in the shopping mall, so as to determine the article corresponding to the picture of article.
  • step 104 displaying to a user a total sum of all articles associated with the ID when detecting the shopping cart corresponding to the ID is located in a preset payment area of the shopping mall.
  • the ID of the shopping cart and all articles associated with the ID may be acquired when the shopping cart is in the payment area.
  • the total sum of all articles will be displayed to the user to facilitate the payment.
  • the ID may also be acquired by an electronic tag reader provided in the payment area which may read IDs.
  • step 105 a permitting procedure for allowing the shopping cart corresponding to the ID to pass is executed, upon reception of a message fed back from the payment area and indicating that the total sum corresponding to the ID has been cleared.
  • the method further includes:
  • abnormal conditions e.g. power failure may be occur, which makes it impossible to acquire the ID of the shopping cart, or to determine the placed articles.
  • the users may be informed to make the payment face to face by a prompt.
  • the second embodiment of the present invention further provides a self-service device applicable to a shopping mall provided with a plurality of shelves and a plurality of shopping carts. Specifically, each of the shelves is provided with a camera. The shopping carts are respectively pre-provided with different electronic tags. Different electronic tags correspond to different IDs. As shown in FIG. 2 , the device includes:
  • each of the shelves is further provided with an electronic tag reader.
  • the electronic tag reader is configured to acquire the ID contained in the electronic tag of the shopping cart which is away from the shelf at a distance less than a certain value.
  • the associating module 203 is configured to:
  • each of the shelves corresponds to a certain type of article within a preset period of time.
  • the identifying a picture of article captured by the camera so as to determine the placed article, performed by the associating module 203 includes:
  • the device further includes:
  • the device further includes:
  • the embodiments of the present invention provide a self-service method and device applicable to a shopping mall provided with a plurality of shelves and a plurality of shopping carts.
  • each of the shelves is provided with a camera.
  • the shopping carts are respectively pre-provided with different electronic tags. Different electronic tags correspond to different IDs.
  • the method includes: acquiring, by the camera of each of the shelves, video data associated with the shopping cart at a distance from the shelf less than a preset value; determining, based on identification of the video data, whether an article is being placed into the shopping cart; if it is determined that an article is being placed into the shopping cart, acquiring the ID of the shopping cart, determining the placed article, and associating the ID with the article; displaying to a user a total sum of all articles associated with the ID, when detecting the shopping cart corresponding to the ID is located in a preset payment area of the shopping mall; and executing a permitting procedure for allowing the shopping cart corresponding to the ID to pass, upon reception of a message fed back from the payment area and indicating that the total sum corresponding to the ID has been cleared.
  • Self-service shopping realized by providing such cameras and electronic tags, is simple and easy to implement, widely applicable, less resource-consuming and thus can be applied to areas such as a relatively big shopping mall.
  • modules in a device of an implementation scenario may be distributed in the device of the implementation scenario according to the description of the implementation scenario, and may also be distributed in one or more devices in a way different from the present implementation scenario, after subjecting corresponding changes.
  • the modules in the abovementioned implementation scenarios may be combined into one module, and may be further divided into multiple sub-modules.

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Abstract

Provided are a self-service method and device. The method includes: acquiring by a camera video data associated with a shopping cart at a distance from a shelf less than a preset value; determining whether an article is being placed into the shopping cart, based on identification of the video data; if yes, acquiring an ID of the shopping cart, determining the placed article and associating the ID with the article; displaying a total sum of all articles associated with the ID to the user when detecting the shopping cart corresponding to the ID is located in a preset payment area in the shopping mall; and executing a permitting procedure for allowing the shopping cart corresponding to the ID to pass upon reception of a message fed back from the payment area and indicating that the total sum corresponding to the ID has been cleared.

Description

Cross Reference to Related Applications
This application claims priority under 35 U.S.C. § 119 to Chinese patent application 201711204094.4, filed with the State Intellectual Property Office on Nov. 27, 2017, the disclosure of which is incorporated herein by reference.
TECHNICAL FIELD
The present invention relates to the field of self-service, and particularly to a self-service method and device.
BACKGROUND ART
Self-service methods have been developed as the identification technology for products progresses. However, current self-services involve excessive complicated operations and require great investment, which results in a limited range of application and a failure to apply to general areas which require self-service.
DISCLOSURE OF THE INVENTION
Directed at the defects present in the prior art, embodiments of the present invention provide a self-service method and device which are simple and easy to implement, widely applicable, less resource-consuming and applicable to areas such as a shopping mall.
Specifically, the present invention provides the following specific embodiments.
An embodiment of the present invention provides a self-service method applicable to a shopping mall provided with a plurality of shelves and a plurality of shopping carts. Specifically, each of the shelves is provided with a camera. The shopping carts are respectively pre-provided with different electronic tags. The different electronic tags correspond to different IDs. The method includes:
    • acquiring, by the camera of each of the shelves, video data associated with the shopping cart at a distance from the shelf less than a preset value;
    • determining, based on identification of the video data, whether an article is being placed into the shopping cart;
    • acquiring, if it is determined that an article is being placed into the shopping cart, the ID of the shopping cart, determining the placed article, and associating the ID with the article;
    • displaying to a user a total sum of all the articles associated with the ID, when detecting the shopping cart corresponding to the ID is located in a preset payment area of the shopping mall; and
    • executing a permitting procedure for allowing the shopping cart corresponding to the ID to pass, upon reception of a message fed back from the payment area and indicating that the total sum corresponding to the ID has been cleared.
In a specific embodiment, each of the shelves is further provided with an electronic tag reader. The electronic tag reader is configured to acquire the ID contained in the electronic tag of the shopping cart which is away from the shelf at a distance less than a certain value.
The step of acquiring the ID of the shopping cart, determining the placed article, and associating the ID with the article includes:
    • acquiring the ID of the shopping cart by the electronic tag reader, and identifying a picture of article captured by the camera so as to determine the placed article.
In a specific embodiment, each of the shelves corresponds to a certain type of article within a preset period of time.
The step of identifying a picture of article captured by the camera so as to determine the placed article includes:
    • shooting the article by the camera to capture a picture of article; and
    • performing a first matching procedure, in which the captured picture of article is matched with each of pre-stored pictures of the article on the shelf, so as to determine an article corresponding to the captured picture of article.
In a specific embodiment, if the article corresponding to the captured picture of article cannot be determined through the first matching procedure, a second matching procedure is performed, in which the captured picture of article is matched with pre-stored pictures of all articles in the shopping mall, so as to determine the article corresponding to the picture of article.
In a specific embodiment, the method further includes:
    • generating a prompt message if the acquisition of the ID of the shopping cart or the determination of the placed article fails; where the prompt message is configured to prompt the user to make payment face to face.
An embodiment of the present invention further provides a self-service device applicable to a shopping mall provided with a plurality of shelves and a plurality of shopping carts. Specifically, each of the shelves is provided with a camera. The shopping carts are respectively pre-provided with different electronic tags. The different electronic tags correspond to different IDs. The device includes:
    • an acquiring module configured to acquire, by the camera of each of the shelves, video data associated with the shopping cart which is away from the shelf at a distance less than a preset value;
    • a determining module configured to determine, based on identification of the video data, whether an article is being placed into the shopping cart;
    • an associating module configured to acquire the ID of the shopping cart, determine the placed article, and associating the ID with the article, if it is determined that an article is being placed into the shopping cart;
    • a displaying module configured to display to a user a total sum of all articles associated with the ID, when detecting the shopping cart corresponding to the ID is located in a preset payment area of the shopping mall; and
    • an executing module configured to execute a permitting procedure for allowing the shopping cart corresponding to the ID to pass, upon reception of a message fed back from the payment area and indicating that the total sum corresponding to the ID has been cleared.
In a specific embodiment, the shelf is further provided with an electronic tag reader. The electronic tag reader is configured to acquire the ID contained in the electronic tag of the shopping cart which is away from the shelf at a distance less than a certain value.
The associating module is configured to:
    • acquire the ID of the shopping cart by the electronic tag reader, and identify a picture of article captured by the camera so as to determine the placed article.
In a specific embodiment, each of the shelves corresponds to a certain type of article within a preset period of time.
The identifying a picture of article captured by the camera so as to determine the placed article, performed by the associating module, includes:
    • shooting the article by the camera to capture a picture of article; and
    • performing a first matching procedure, in which the captured picture of article is matched with each of pre-stored pictures of the articles on the shelves, so as to determine an article corresponding to the captured picture of article.
In a specific embodiment, the device further includes a processing module configured to perform a second matching procedure, in which the captured picture of article is matched with pre-stored pictures of all articles in the shopping mall, so as to determine the article corresponding to the picture of article, if the article corresponding to the captured picture of article cannot be determined through the first matching procedure.
In a specific embodiment, the device further includes:
    • a prompting module configured to generate a prompt message if the acquisition of the ID of the shopping cart or the determination of the placed article; where the prompt message is configured to prompt the user to make payment face to face.
Thus, the embodiments of the present invention provide a self-service method and device applicable to a shopping mall provided with a plurality of shelves and a plurality of shopping carts. Specifically, each of the shelves is provided with a camera. The shopping carts are respectively pre-provided with different electronic tags. The different electronic tags correspond to different IDs. The method includes: acquiring, by the camera of each of the shelves, video data associated with the shopping cart at a distance from the shelf less than a preset value; determining, based on identification of the video data, whether an article is being placed into the shopping cart; if it is determined that an article is being placed into the shopping cart, acquiring the ID of the shopping cart, determining the placed article and associating the ID with the article; displaying to a user a total sum of all articles associated with the ID, when detecting the shopping cart corresponding to the ID is located in a preset payment area of the shopping mall; and executing a permitting procedure for allowing the shopping cart corresponding to the ID to pass, upon reception of a message fed back from the payment area and indicating that the total sum corresponding to the ID has been cleared. Self-service shopping, realized by providing such cameras and electronic tags, is simple and easy to implement, widely applicable, less resource-consuming and thus can be applied to areas such as a relatively big shopping mall.
BRIEF DESCRIPTION OF DRAWINGS
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, drawings necessary for the embodiments will be briefly described below. It should be understood that the following drawings merely show some embodiments of the present invention and thus should not be construed as limiting the scope. Other related drawings can be obtained by those ordinarily skilled in the art according to these drawings without any creative effort.
FIG. 1 is a schematic flow chart of a self-service method provided by an embodiment of the present invention;
FIG. 2 is a schematic diagram of the structure of a self-service device provided by an embodiment of the present invention;
FIG. 3 is a schematic diagram of the structure of a self-service device provided by an embodiment of the present invention;
FIG. 4 is a schematic diagram of the structure of a self-service device provided by an embodiment of the present invention.
 DETAILED DESCRIPTION OF EMBODIMENTS
Hereinafter, various embodiments of the present disclosure will be described more comprehensively. The present disclosure may have various embodiments, and adjustments and modifications may be made thereto. However, it should be understood that various embodiments of the present disclosure are not indented to be limited to the particular embodiments disclosed herein, and therefore the present disclosure should be considered as encompassing all adjustments, equivalents and/or alternatives that fall within the spirit and scope of the various embodiments of the present disclosure.
Hereinafter, terms such as “include” or “may include” used in the various embodiments of the present disclosure indicate the presence of the disclosed functions, operations or elements, and do not restrict from adding one or more functions, operations or elements. In addition, as used in the various embodiments of the present disclosure, terms such as “include”, “have” and the derivative versions thereof only intend to indicate particular features, numbers, steps, operations, elements, components or combinations thereof, but should not be construed as excluding the possibility that one or more other features, numbers, steps, operations, elements, components or the combinations thereof may be present, or that one or more features, numbers, steps, operations, elements, components or the combinations thereof may be added.
In the various embodiments of the present disclosure, the expression “or” or “at least one of A and/or B” includes any or all combinations of the listed items. For example, the expression “A or B” or “at least one of A and/or B” may include A, may include B or may include both A and B.
The expressions (such as “first” and “second”) used in the various embodiments of the present disclosure may embellish various constituent elements of the various embodiments, but not limit the corresponding constituent elements. For example, the above expressions do not limit the sequence and/or importance of the elements. Such expressions are used only for the purpose of distinguishing one element from other elements. For example, a first user device and a second user device represent different user devices, though both are user devices. For example, a first element may be referred to as a second element, and similarly, a second element may be referred to as a first element, without departing from the scope of the various embodiments of the present disclosure.
It should be noted that, if a constituent element is described to be “connected” to another constituent element, it means that a first constituent element may be directly connected to a second constituent element, and a third constituent element may be connected between the first constituent element and the second constituent element. On the contrary, if a constituent element is “directly connected” to another constituent element, it may be interpreted that there is no third constituent element existing between the first constituent element and the second constituent element.
The term “user” used in the various embodiments of the present disclosure may indicate a person who uses an electronic device or a device which uses an electronic device (e.g. an artificial intelligent electronic device).
The terms used in the various embodiments of the present disclosure are used only for the purpose of describing the particular embodiments, rather than limiting the various embodiments of the present disclosure. As used herein, the singular forms intend to include plural referents unless the context clearly dictates otherwise. Unless otherwise specified, all terms (including technical terms and scientific terms) used herein have the same meaning as that commonly understood by one ordinary skilled in the art of the various embodiments of the present disclosure. The terms (such as those terms defined in a commonly used dictionary) are to be interpreted as having the same meaning as those used in the context of related technical fields, instead of being interpreted as having an ideal meaning or an excessive formal meaning, unless otherwise clearly defined in the various embodiments of the present disclosure.
First Embodiment
The first embodiment of the present invention discloses a self-service method applicable to a shopping mall provided with a plurality of shelves and a plurality of shopping carts. Specifically, each of the shelves is provided with a camera. The shopping carts are respectively pre-provided with different electronic tags. Different electronic tags correspond to different IDs (Identifications). As shown in FIG. 1, the method includes the following steps.
In step 101, video data associated with the shopping cart is acquired, by the camera, the shopping cart being at a distance from the shelf less than a preset value.
Specifically, the camera provided on the shelf is configured to monitor the surroundings around the shelf over a preset range. The specific preset range may be set according to experience, and may be specifically determined according to a distance between a shelf and a spot where a user fetches an article from the shelf under normal circumstances. It can be well determined from the acquired video data whether an article is being transferred between the shelf and the shopping cart.
In step 102, it is determined whether an article is being placed into the shopping cart, based on identification of the video data.
Specifically, each of the pictures contained in the video data is identified to determine a trajectory of the article and the position of the shopping cart, so as to determine whether an article is being placed into the shopping cart.
In step 103, the ID of the shopping cart is acquired, the placed article is determined and the ID is associated with the article, if it is determined that an article is being placed into the shopping cart.
Specifically, if it is determined that an article is being placed into the shopping cart, the ID of the shopping cart is acquired, the placed article is determined and then the ID and the article will be associated with each other.
Specifically, in a specific embodiment, each of the shelves is further provided with an electronic tag reader. The electronic tag reader is configured to acquire the ID contained in the electronic tag of the shopping cart which is away from the shelf at a distance less than a certain value.
The step of acquiring the ID of the shopping cart, determining the placed article and associating the ID with the article includes:
    • acquiring the ID of the shopping cart by the electronic tag reader, and identifying a picture of article captured by the camera so as to determine the placed article.
Specifically, each of the shopping carts is pre-provided with an electronic tag, and each of the shelves is provided with the electronic tag reader which acquires the ID of the shopping cart by reading the electronic tag. To avoid other electronic tags from being read, it is possible to set that only the electronic tag on a shopping cart which is away from the shelf at a distance less than a certain value can be read. Specifically, the distance may be set according to the distance between the shopping cart and a shelf when a user is fetching an article from the shelf under normal circumstances.
An article may be identified based on an article picture that is taken. In an embodiment, for example, pictures of all articles in the shopping mall are captured in advance; specifically, the pictures may be taken from various angles, so as to form a picture library of articles. Subsequently, the article can be determined by matching the picture of article with the pictures in the picture library.
In another specific embodiment, each of the shelves corresponds to a certain type of article within a preset period of time.
The step of identifying a picture of article captured by the camera so as to determine the placed article includes:
    • shooting the article by the camera to capture a picture of article; and
    • performing a first matching procedure, in which the captured picture of article is matched with each of pre-stored pictures of the articles on the shelf, so as to determine an article corresponding to the captured picture of article.
In another embodiment, if the article corresponding to the captured picture of article cannot be determined through the first matching procedure, a second matching procedure is performed, in which the captured picture of article is matched with pre-stored pictures of all articles in the shopping mall, so as to determine the article corresponding to the picture of article.
Specifically, there are numerous pictures of articles of the entire shopping mall, specific articles are stored on certain shelves and normally fetched therefrom, and each of the shelves corresponds to a certain type of article within a certain period of time. Accordingly, in identifying the article, it is preferable to perform a matching procedure, in which the article picture is matched with the pictures of the articles stored on the shelf where the article is located, and only when the previous match fails, a matching procedure in which the article picture is matched with the pictures of all articles in the shopping mall will be performed. In this way, the efficiency is improved.
In step 104, displaying to a user a total sum of all articles associated with the ID when detecting the shopping cart corresponding to the ID is located in a preset payment area of the shopping mall.
Specifically, there are preset payment areas in the shopping mall. The ID of the shopping cart and all articles associated with the ID may be acquired when the shopping cart is in the payment area. The total sum of all articles will be displayed to the user to facilitate the payment. Specifically, the ID may also be acquired by an electronic tag reader provided in the payment area which may read IDs.
In step 105, a permitting procedure for allowing the shopping cart corresponding to the ID to pass is executed, upon reception of a message fed back from the payment area and indicating that the total sum corresponding to the ID has been cleared.
In a specific embodiment, the method further includes:
    • generating a prompt message if the acquisition of the ID of the shopping cart or the determination of the placed article fails; where the prompt message is configured to inform the user to make payment face to face.
In a specific embodiment, it is contemplated that abnormal conditions e.g. power failure may be occur, which makes it impossible to acquire the ID of the shopping cart, or to determine the placed articles. In such cases, the users may be informed to make the payment face to face by a prompt.
Second Embodiment
The second embodiment of the present invention further provides a self-service device applicable to a shopping mall provided with a plurality of shelves and a plurality of shopping carts. Specifically, each of the shelves is provided with a camera. The shopping carts are respectively pre-provided with different electronic tags. Different electronic tags correspond to different IDs. As shown in FIG. 2, the device includes:
    • an acquiring module 201 configured to acquire, by the camera of each of the shelves, video data associated with the shopping cart which is away from the shelf at a distance less than a preset value;
    • a determining module 202 configured to determine, based on identification of the video data, whether an article is being placed into the shopping cart;
    • an associating module 203 configured to acquire the ID of the shopping cart, determine the placed article and associating the ID with the article, if it is determined that an article is being placed into the shopping cart;
    • a displaying module 204 configured to display to a user a total sum of all articles associated with the ID, when detecting the shopping cart corresponding to the ID is located in a preset payment area of the shopping mall; and
    • an executing module 205 configured to execute a permitting procedure for allowing the shopping cart corresponding to the ID to pass, upon reception of a message fed back from the payment area and indicating that the total sum corresponding to the ID has been cleared.
In a specific embodiment, each of the shelves is further provided with an electronic tag reader. The electronic tag reader is configured to acquire the ID contained in the electronic tag of the shopping cart which is away from the shelf at a distance less than a certain value.
The associating module 203 is configured to:
    • acquire the ID of the shopping cart by the electronic tag reader, and identify a picture captured by the camera so as to determine the placed article.
In a specific embodiment, each of the shelves corresponds to a certain type of article within a preset period of time.
The identifying a picture of article captured by the camera so as to determine the placed article, performed by the associating module 203, includes:
    • shooting the article by the camera to capture a picture of article; and
    • performing a first matching procedure, in which the captured picture of article is matched with each of pre-stored pictures of the article on the shelf, so as to determine an article corresponding to the captured picture of article.
In a specific embodiment, as shown in FIG. 3, the device further includes:
    • a processing module 206 configured to perform a second matching procedure, in which the captured picture of article is matched with pre-stored pictures of all articles in the shopping mall, so as to determine the article corresponding to the picture of article, if the article corresponding to the captured picture of article cannot be determined through the first matching procedure.
In a specific embodiment, as shown in FIG. 4, the device further includes:
    • a prompting module 207 configured to generate a prompt message if the acquisition of the ID of the shopping cart or the determination of the placed article fails; where the prompt message is configured to prompt the user to make payment face to face.
Thus, the embodiments of the present invention provide a self-service method and device applicable to a shopping mall provided with a plurality of shelves and a plurality of shopping carts. Specifically, each of the shelves is provided with a camera. The shopping carts are respectively pre-provided with different electronic tags. Different electronic tags correspond to different IDs. The method includes: acquiring, by the camera of each of the shelves, video data associated with the shopping cart at a distance from the shelf less than a preset value; determining, based on identification of the video data, whether an article is being placed into the shopping cart; if it is determined that an article is being placed into the shopping cart, acquiring the ID of the shopping cart, determining the placed article, and associating the ID with the article; displaying to a user a total sum of all articles associated with the ID, when detecting the shopping cart corresponding to the ID is located in a preset payment area of the shopping mall; and executing a permitting procedure for allowing the shopping cart corresponding to the ID to pass, upon reception of a message fed back from the payment area and indicating that the total sum corresponding to the ID has been cleared. Self-service shopping, realized by providing such cameras and electronic tags, is simple and easy to implement, widely applicable, less resource-consuming and thus can be applied to areas such as a relatively big shopping mall.
A person skilled in the art can understand that the drawings are merely schematic diagrams of a preferred implementation scenario, and the modules or procedures in the drawings are not necessarily required when implementing embodiments of the present invention.
A person skilled in the art can understand that modules in a device of an implementation scenario may be distributed in the device of the implementation scenario according to the description of the implementation scenario, and may also be distributed in one or more devices in a way different from the present implementation scenario, after subjecting corresponding changes. The modules in the abovementioned implementation scenarios may be combined into one module, and may be further divided into multiple sub-modules.
The above serial number of the implementation scenarios of the present invention is merely for the purpose of description and does not represent the preference of the implementation scenarios.
The above disclosure is just several specific implementation scenarios of the present invention. However, the present invention is not limited thereto, and any changes that may occur to a person skilled in the art should fall within the scope of protection of the present invention.

Claims (12)

The invention claimed is:
1. A computer-implemented method, comprising:
in response to a shopping cart being within a preset distance from a shelf, acquiring video data associated with the shopping cart;
determining, based on the video data, an article being placed into the shopping cart;
determining one or more product types associated with the shelf at a present period of time;
retrieving pre-stored images of the one or more product types;
identifying a product type of the article based on a two-stage matching procedure, comprising (1) performing a first matching procedure between an image of the article and the pre-stored images of the one or more product types associated with the shelf at the present period of time; and (2) in response to a nonmatch at the first matching procedure, performing a second matching procedure between the image of the article and pre-stored images of all product types;
acquiring an ID of the shopping cart;
associating the ID of the shopping cart with the product type of the article;
in response to the shopping cart being in a payment area, displaying to a user the product type of the article based on the ID of the shopping cart; and
executing a permitting procedure for allowing the shopping cart to pass the payment area based on a payment of the article.
2. The method according to claim 1, further comprising:
acquiring the ID of the shopping cart from an electronic tag reader associated with the shelf.
3. The method according to claim 1, further comprising:
capturing the image of the article from the video data.
4. The method according to claim 1, further comprising:
capturing the image of the article directly from the article.
5. The method according to claim 1, further comprising:
in response to another nonmatch in the second matching procedure, generating a prompt message to prompt the user to make payment in an alternative method.
6. A system, comprising:
a camera configured to acquire, in response to a shopping cart being within a preset distance from a shelf, video data associated with the shopping cart;
a determining module configured to determine, based on the video data, an article being placed into the shopping cart;
an associating module configured to identify a product type of the article based on a two-stage matching procedure, comprising (1) performing a first matching procedure between an image of the article and pre-stored images of one or more product types associated with the shelf at a present period of time; and (2) in response to a nonmatch at the first matching procedure, performing a second matching procedure between the image of the article and pre-stored images of all product types;
a displaying module configured to display, in response to the shopping cart being in a payment area, to a user the product type of the article; and
an executing module configured to execute a permitting procedure for allowing the shopping cart to pass the payment area based on a payment of the article.
7. The system according to claim 6, wherein
the associating module is further configured to
acquire an ID of the shopping cart via an electronic tag reader.
8. The system according to claim 6, wherein the camera is further configured to
shoot the article to capture the image of the article.
9. The system according to claim 6, wherein the camera is further configured to capture the image of the article from the video data.
10. The system according to claim 6, further comprising:
a prompting module configured to generate a prompt message to prompt the user to make payment in an alternative method.
11. A non-transitory computer-readable medium storing a program causing a computer to execute a process, the process comprising:
in response to a shopping cart being within a preset distance from a shelf, acquiring video data associated with the shopping cart;
determining, based on the video data, an article being placed into the shopping cart;
capturing an image of the article from the video data;
determining one or more product types associated with the shelf at a present period of time;
retrieving pre-stored images of the one or more product types;
identifying a product type of the article based on a two-stage matching procedure, comprising (1) performing a first matching procedure between the image of the article and the pre-stored images of the one or more product types associated with the shelf at the present period of time; and (2) in response to a nonmatch at the first matching procedure, performing a second matching procedure between the image of the article and pre-stored images of all product types;
acquiring an ID of the shopping cart;
associating the ID of the shopping cart with the product type of the article;
in response to the shopping cart being in a payment area, displaying to a user the product type of the article based on the ID of the shopping cart; and
enabling, based on the product type of the article, the user to make a payment of the article.
12. The medium according to claim 11, the process further comprising:
executing a permitting procedure for allowing the shopping cart to leave the payment area based on the payment of the article.
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Families Citing this family (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107944960A (en) * 2017-11-27 2018-04-20 深圳码隆科技有限公司 A kind of self-service method and apparatus
CN108776920A (en) * 2018-05-31 2018-11-09 常熟市百联自动机械有限公司 A kind of new retail supermarket shopping guide method
CN108960807A (en) * 2018-06-14 2018-12-07 深圳市丰宜科技有限公司 Shelf touch suggestion device and method
CN110647783A (en) * 2018-06-26 2020-01-03 杭州海康威视数字技术股份有限公司 Unmanned goods shelf payment detection method, device and system
CN109033985B (en) * 2018-06-29 2020-10-09 百度在线网络技术（北京）有限公司 Commodity identification processing method, device, equipment, system and storage medium
CN108875690A (en) * 2018-06-29 2018-11-23 百度在线网络技术（北京）有限公司 Unmanned Retail commodity identifying system
CN109272679B (en) * 2018-08-23 2021-09-17 深兰科技（上海）有限公司 Intelligent shopping method and device and computer readable storage medium
CN111507792A (en) * 2019-03-07 2020-08-07 河源市联腾实业有限公司 Self-service shopping method, computer readable storage medium and system
CN111507702A (en) * 2019-03-07 2020-08-07 河源市联腾实业有限公司 Self-service shopping method for unmanned supermarket, computer readable storage medium and system
CN110246280B (en) * 2019-05-30 2022-03-25 北京百度网讯科技有限公司 Human-cargo binding method and device, computer equipment and readable medium
US20210398197A1 (en) * 2020-06-22 2021-12-23 Here Global B.V. Method and apparatus for identifying a selected product based on location
EP4020415A1 (en) * 2020-12-27 2022-06-29 Bizerba SE & Co. KG Self-checkout store

Citations (164)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3741345A (en) * 1971-03-03 1973-06-26 H Saridis Semi automated retail store
US5497314A (en) * 1994-03-07 1996-03-05 Novak; Jeffrey M. Automated apparatus and method for object recognition at checkout counters
US5671362A (en) * 1995-04-04 1997-09-23 Cowe; Alan B. Materials monitoring systems, materials management systems and related methods
US6412694B1 (en) * 2000-09-20 2002-07-02 Ncr Corporation Produce recognition system and method including weighted rankings
US6424370B1 (en) * 1999-10-08 2002-07-23 Texas Instruments Incorporated Motion based event detection system and method
US20020113123A1 (en) * 2000-12-06 2002-08-22 Ncr Corporation Automated monitoring of activity of shoppers in a market
US20020170961A1 (en) * 2001-05-17 2002-11-21 Bruce Dickson Method and system for providing shopping assistance using RFID-tagged items
US20030015585A1 (en) * 2001-07-19 2003-01-23 Ncr Corporation Self checkout system utilizing networked shopping carts
US20030216969A1 (en) * 2002-01-23 2003-11-20 Bauer Donald G. Inventory management system
US20040103034A1 (en) * 2002-11-21 2004-05-27 Kimberly-Clark Worldwide, Inc. RFID system and method for purchase item accountability
US20040168172A1 (en) * 2003-02-24 2004-08-26 Fuji Xerox Co., Ltd. Work space control apparatus
US20050073585A1 (en) * 2003-09-19 2005-04-07 Alphatech, Inc. Tracking systems and methods
US20050105765A1 (en) * 2003-11-17 2005-05-19 Mei Han Video surveillance system with object detection and probability scoring based on object class
US20050131578A1 (en) * 2003-09-30 2005-06-16 Intrinsic Marks International Llc Item monitoring system and methods
US6909356B2 (en) * 2000-11-03 2005-06-21 Seecontrol, Inc. Method and apparatus for associating the movement of goods with the identity of an individual moving the goods
US6915135B1 (en) * 2001-05-15 2005-07-05 Praxis Technology Group, Inc. Method and system for detecting object presence and its duration in a given area
US20050185823A1 (en) * 2004-02-24 2005-08-25 International Business Machines Corporation System and method for generating a viewable video index for low bandwidth applications
US20050189412A1 (en) * 2004-02-27 2005-09-01 Evolution Robotics, Inc. Method of merchandising for checkout lanes
US20050200476A1 (en) * 2004-03-15 2005-09-15 Forr David P. Methods and systems for gathering market research data within commercial establishments
US20060032915A1 (en) * 2004-08-12 2006-02-16 International Business Machines Retail store method and system
US20060251339A1 (en) * 2005-05-09 2006-11-09 Gokturk Salih B System and method for enabling the use of captured images through recognition
US20060256082A1 (en) * 2005-05-12 2006-11-16 Samsung Electronics Co., Ltd. Method of providing motion recognition information in portable terminal
US7227893B1 (en) * 2002-08-22 2007-06-05 Xlabs Holdings, Llc Application-specific object-based segmentation and recognition system
US20070143188A1 (en) * 2005-12-15 2007-06-21 International Business Machines Corporation System and method for processing items placed in a container
US20070179921A1 (en) * 2006-01-27 2007-08-02 Microsoft Corporation Object instance recognition using feature symbol triplets
US20070182818A1 (en) * 2005-09-02 2007-08-09 Buehler Christopher J Object tracking and alerts
US20080011836A1 (en) * 2006-07-12 2008-01-17 Roger Lee Adema Method and System for Reducing Waste Due to Product Spoilage within a Grocery Environment
US20080018738A1 (en) * 2005-05-31 2008-01-24 Objectvideo, Inc. Video analytics for retail business process monitoring
US20080055194A1 (en) * 2006-08-31 2008-03-06 Motorola, Inc. Method and system for context based user interface information presentation and positioning
US20080059570A1 (en) * 2006-09-05 2008-03-06 Aol Llc Enabling an im user to navigate a virtual world
US20080100704A1 (en) * 2000-10-24 2008-05-01 Objectvideo, Inc. Video surveillance system employing video primitives
US20080130951A1 (en) * 2006-11-30 2008-06-05 Wren Christopher R System and Method for Modeling Movement of Objects Using Probabilistic Graphs Obtained From Surveillance Data
US20080130948A1 (en) * 2005-09-13 2008-06-05 Ibrahim Burak Ozer System and method for object tracking and activity analysis
US20080159634A1 (en) * 2006-12-30 2008-07-03 Rajeev Sharma Method and system for automatically analyzing categories in a physical space based on the visual characterization of people
US20080193010A1 (en) * 2007-02-08 2008-08-14 John Eric Eaton Behavioral recognition system
US20080198231A1 (en) * 2007-02-16 2008-08-21 Matsushita Electric Industrial Co., Ltd. Threat-detection in a distributed multi-camera surveillance system
US20080221943A1 (en) * 2006-09-25 2008-09-11 Michael Ramey Porter Retail behavioral tracking using microsystems
US20080226129A1 (en) * 2007-03-12 2008-09-18 Malay Kundu Cart Inspection for Suspicious Items
US20080230603A1 (en) * 2007-03-25 2008-09-25 Media Cart Holdings, Inc. Media enabled shopping system user interface
US20080260212A1 (en) * 2007-01-12 2008-10-23 Moskal Michael D System for indicating deceit and verity
US20080303901A1 (en) * 2007-06-08 2008-12-11 Variyath Girish S Tracking an object
US20080308630A1 (en) * 2007-06-18 2008-12-18 International Business Machines Corporation User-requirement driven shopping assistant
US20090039165A1 (en) * 2007-08-08 2009-02-12 Ncr Corporation Methods and Apparatus for a Bar Code Scanner Providing Video Surveillance
US20090055278A1 (en) * 2007-08-20 2009-02-26 Symbian Software Ltd. Complete Secure Retail Transaction Via A Mobile Device
US20090059270A1 (en) * 2007-08-31 2009-03-05 Agata Opalach Planogram Extraction Based On Image Processing
US20090083122A1 (en) * 2007-09-26 2009-03-26 Robert Lee Angell Method and apparatus for identifying customer behavioral types from a continuous video stream for use in optimizing loss leader merchandizing
US7522057B2 (en) * 2001-03-16 2009-04-21 International Business Machines Corporation System and method for non intrusive monitoring of “at-risk” individuals
US20090101713A1 (en) * 2007-08-24 2009-04-23 Richard Bennett Ulrich System, method, and apparatus of rfid point of sale
US20090121017A1 (en) * 2007-11-08 2009-05-14 International Business Machines Corporation Using Cameras to Monitor Actual Inventory
US20090125406A1 (en) * 2007-11-08 2009-05-14 Wal-Mart Stores, Inc. Method and Apparatus for Automated Shopper Checkout Using Radio Frequency Identification Technology
US20090140046A1 (en) * 2007-11-30 2009-06-04 International Business Machines Corporation Electronic Inventory Tracking System
US20090145965A1 (en) * 2007-12-07 2009-06-11 International Business Machines Corporation Radio Frequency Identification System for Inventory Handling, Tracking, and Checkout
US20090228363A1 (en) * 2008-02-25 2009-09-10 Yaniv Segev Shopping system and method therefor
US20090232366A1 (en) * 2008-03-11 2009-09-17 Hitachi, Ltd. System and method for factory work logging
US20090259571A1 (en) * 2008-04-11 2009-10-15 Julia Ebling Inventory module for a video monitoring system, method for taking inventory of a monitoring region, and a computer program
US20090302106A1 (en) * 2008-06-04 2009-12-10 Fujitsu Limited Commercial article information presenting system
US20100013931A1 (en) * 2008-07-16 2010-01-21 Verint Systems Inc. System and method for capturing, storing, analyzing and displaying data relating to the movements of objects
US20100019905A1 (en) * 2008-07-25 2010-01-28 John Bennett Boddie System for inventory tracking and theft deterrence
US20100026802A1 (en) * 2000-10-24 2010-02-04 Object Video, Inc. Video analytic rule detection system and method
US20100060455A1 (en) * 2006-06-20 2010-03-11 Absolutesky Holding, Inc. Identification and surveillance device, system and method for individual item level tracking
US20100082301A1 (en) * 2008-09-30 2010-04-01 Sense Netwoks, Inc. Event Identification In Sensor Analytics
US20100117959A1 (en) * 2008-11-10 2010-05-13 Samsung Electronics Co., Ltd. Motion sensor-based user motion recognition method and portable terminal using the same
US20100138037A1 (en) * 2008-10-22 2010-06-03 Newzoom, Inc. Vending Store Inventory Management and Reporting System
US20100141386A1 (en) * 2008-12-10 2010-06-10 Electronics And Telecommunications Research Institute Near-field rfid reader antenna
US7780081B1 (en) * 2005-01-03 2010-08-24 RCL Products, Inc. System and method for security protection, inventory tracking and automated shopping cart checkout
US20100250305A1 (en) * 2009-03-31 2010-09-30 Morris Lee Methods and apparatus to monitor shoppers in a retail environment
US20100277277A1 (en) * 2009-04-29 2010-11-04 Job Site Resources, Llc Mobile tool facility
US20100318440A1 (en) * 2010-03-18 2010-12-16 Coveley Michael Ej Cashierless, Hygienic, Automated, Computerized, Programmed Shopping Store, Storeroom And Supply Pipeline With Administration Cataloguing To Eliminate Retail Fraud; With Innovative Components For Use Therein
US7903141B1 (en) * 2005-02-15 2011-03-08 Videomining Corporation Method and system for event detection by multi-scale image invariant analysis
US20110102588A1 (en) * 2009-10-02 2011-05-05 Alarm.Com Image surveillance and reporting technology
US20110115914A1 (en) * 2009-11-10 2011-05-19 Clear-View-Technologies, Inc. Sequential Hardware Event Processor with Video Event Compression and Recall
US20110140380A1 (en) * 2009-12-16 2011-06-16 Richard Ulrich Interactive Customer Shopping Cart
US8009863B1 (en) * 2008-06-30 2011-08-30 Videomining Corporation Method and system for analyzing shopping behavior using multiple sensor tracking
US20110228984A1 (en) * 2010-03-17 2011-09-22 Lighthaus Logic Inc. Systems, methods and articles for video analysis
US20110234840A1 (en) * 2008-10-23 2011-09-29 Fraunhofer-Gesellschaft Zur Foerderung Der Angewandten Forschung E.V. Apparatus, method and computer program for recognizing a gesture in a picture, and apparatus, method and computer program for controlling a device
US20110242025A1 (en) * 2010-04-02 2011-10-06 Mstar Semiconductor, Inc. Hand Gesture Recognition Method for Touch Panel and Associated Apparatus
US20110280547A1 (en) * 2010-05-13 2011-11-17 International Business Machines Corporation Auditing video analytics through essence generation
US20110295644A1 (en) * 2010-05-26 2011-12-01 Yusuke Hara System And Method For Process Management In A Materials Handling Facility
US20110320322A1 (en) * 2010-06-25 2011-12-29 Symbol Technologies, Inc. Inventory monitoring using complementary modes for item identification
US20120080517A1 (en) * 2010-10-04 2012-04-05 Braunstein Zachary L Apparatus improving item transactions with real-time controls and navigation
US20120226556A1 (en) * 2011-03-02 2012-09-06 Toshiba Tec Kabushiki Kaisha Shopping cart and method
US8264422B1 (en) * 2007-11-08 2012-09-11 Sprint Communications Company L.P. Safe head-up display of information
US20120284132A1 (en) * 2011-05-03 2012-11-08 Uniyoung Kim Display device attachable to shopping carts, shopping cart, and digital signage display
US8325036B1 (en) * 2008-11-06 2012-12-04 Target Brands, Inc. In stock analytic monitoring
US20120310757A1 (en) * 2011-06-03 2012-12-06 Lg Electronics Inc. Method for controlling stores and system for the same
US20120310727A1 (en) * 2011-06-03 2012-12-06 Augme Technologies, Inc. Method and system for generation of anonymous profiles from a tri-level mapping of mobile network marketing econometrics
US20130046644A1 (en) * 2011-08-17 2013-02-21 Toshiba Tec Kabushiki Kaisha Commodity accommodation apparatus, commodity registration apparatus and commodity registration method
US20130077820A1 (en) * 2011-09-26 2013-03-28 Microsoft Corporation Machine learning gesture detection
US20130076898A1 (en) * 2011-08-01 2013-03-28 Richard Philippe Apparatus, systems, and methods for tracking medical products using an imaging unit
US20130110565A1 (en) * 2011-04-25 2013-05-02 Transparency Sciences, Llc System, Method and Computer Program Product for Distributed User Activity Management
US20130154804A1 (en) * 2011-12-15 2013-06-20 Electronics And Telecommunications Research Institute Radio frequency switch and method for controlling the same, and radio frequency identification smart shelf system
US20130182904A1 (en) * 2012-01-17 2013-07-18 Objectvideo, Inc. System and method for video content analysis using depth sensing
US20130197968A1 (en) * 2011-09-24 2013-08-01 Elwha LLC, a limited liability corporation of the State of Delaware Behavioral fingerprinting with retail monitoring
US20130208115A1 (en) * 2010-10-08 2013-08-15 Youngkyung Park Image-monitoring device and method for detecting events therefor
US20130216094A1 (en) * 2012-01-25 2013-08-22 Bruno Delean Systems, methods and computer program products for identifying objects in video data
US20130223673A1 (en) * 2011-08-30 2013-08-29 Digimarc Corporation Methods and arrangements for identifying objects
US8538820B1 (en) * 2009-10-26 2013-09-17 Stoplift, Inc. Method and apparatus for web-enabled random-access review of point of sale transactional video
US20130250115A1 (en) * 2012-03-23 2013-09-26 International Business Machines Corporation Systems and methods for false alarm reduction during event detection
US20130265232A1 (en) * 2012-04-08 2013-10-10 Samsung Electronics Co., Ltd. Transparent display apparatus and method thereof
US20130290106A1 (en) * 2012-03-08 2013-10-31 Augme Technologies, Inc. System and method for providing directions to items of interest
US8577705B1 (en) * 2008-12-30 2013-11-05 Videomining Corporation Method and system for rating the role of a product category in the performance of a store area
US20130320085A1 (en) * 2012-05-31 2013-12-05 Toshiba Global Commerce Solutions Holdings Corporation System, method, and storage unit for managing multiple objects in an object zone
US20130322686A1 (en) * 2012-05-30 2013-12-05 International Business Machines Corporation Profiling Activity Through Video Surveillance
US20130342316A1 (en) * 2012-06-25 2013-12-26 Touraj Ghaffari Sensor-Enabled RFID System to Gauge Movement of an Object in Relation to a Subject
US20140001258A1 (en) * 2012-06-29 2014-01-02 International Business Machines Corporation Item scanning in a shopping cart
US20140052555A1 (en) * 2011-08-30 2014-02-20 Digimarc Corporation Methods and arrangements for identifying objects
US8695878B2 (en) * 2011-08-31 2014-04-15 Djb Group Llc Shelf-monitoring system
US20140164176A1 (en) * 2012-12-11 2014-06-12 Rawllin International Inc. Fast-checkout using smart cart
US20140201039A1 (en) * 2012-10-08 2014-07-17 Livecom Technologies, Llc System and method for an automated process for visually identifying a product's presence and making the product available for viewing
US20140222501A1 (en) * 2013-02-01 2014-08-07 Panasonic Corporation Customer behavior analysis device, customer behavior analysis system and customer behavior analysis method
US8810392B1 (en) * 2010-02-04 2014-08-19 Google Inc. Device and method for monitoring the presence of items and issuing an alert if an item is not detected
US8817094B1 (en) * 2010-02-25 2014-08-26 Target Brands, Inc. Video storage optimization
US20140240088A1 (en) * 2011-03-22 2014-08-28 Jamie Robinette Apparatus and method for locating, tracking, controlling and recognizing tagged objects using active rfid technology
US20140293032A1 (en) * 2013-03-26 2014-10-02 Urjagreen Technologies Pvt. Ltd. System and method for occupancy detection using differential image sensing and optical markers
US20140304123A1 (en) * 2013-04-09 2014-10-09 International Business Machines Corporation Electronically tracking inventory in a retail store
US20140351098A1 (en) * 2009-09-21 2014-11-27 Checkpoint Systems, Inc. Retail product tracking system, method, and apparatus
US8908903B2 (en) * 2011-08-31 2014-12-09 The Nielsen Company (Us), Llc Image recognition to support shelf auditing for consumer research
US20140365336A1 (en) * 2013-06-07 2014-12-11 Bby Solutions, Inc. Virtual interactive product display with mobile device interaction
US20140365334A1 (en) * 2013-06-07 2014-12-11 Bby Solutions, Inc. Retail customer service interaction system and method
US20140379296A1 (en) * 2013-06-22 2014-12-25 Intellivision Technologies Corp. Method of tracking moveable objects by combining data obtained from multiple sensor types
US20150006319A1 (en) * 2013-06-26 2015-01-01 Barkley, Inc. System and method for communication and processing between devices and objects
US20150012426A1 (en) * 2013-01-04 2015-01-08 Visa International Service Association Multi disparate gesture actions and transactions apparatuses, methods and systems
US20150019391A1 (en) * 2013-06-26 2015-01-15 Amazon Technologies, Inc. Detecting item interaction and movement
US20150029339A1 (en) * 2013-07-25 2015-01-29 Ncr Corporation Whole Store Scanner
US20150039458A1 (en) * 2013-07-24 2015-02-05 Volitional Partners, Inc. Method and system for automated retail checkout using context recognition
US20150088703A1 (en) * 2013-09-25 2015-03-26 Sap Ag Graphic Representations of Planograms
US9020264B2 (en) * 2011-01-26 2015-04-28 Panasonic Intellectual Property Corporation Of America Image management device, image management method, program, recording medium, and integrated circuit
US20150117703A1 (en) * 2013-10-25 2015-04-30 TCL Research America Inc. Object identification system and method
US9026941B1 (en) * 2014-10-15 2015-05-05 Blackwerks LLC Suggesting activities
US20150199698A1 (en) * 2014-01-14 2015-07-16 Panasonic Intellectual Property Corporation Of America Display method, stay information display system, and display control device
US20150206335A1 (en) * 2012-07-04 2015-07-23 Sports Vision & Facts Ug Method and system for real-time virtual 3d reconstruction of a live scene, and computer-readable media
US20150206188A1 (en) * 2014-01-17 2015-07-23 Panasonic Intellectual Property Corporation Of America Item presentation method, and information display method
US20150235161A1 (en) * 2014-02-14 2015-08-20 Bby Solutions, Inc. Wireless customer and labor management optimization in retail settings
US9124778B1 (en) * 2012-08-29 2015-09-01 Nomi Corporation Apparatuses and methods for disparity-based tracking and analysis of objects in a region of interest
US20150269549A1 (en) * 2014-03-20 2015-09-24 Toshiba Global Commerce Solutions Holdings Corporation Synchronizing scan activity with loss prevention cameras
US20150310447A1 (en) * 2014-04-28 2015-10-29 RetailNext, Inc. Methods and systems for simulating agent behavior in a virtual environment
US20150348060A1 (en) * 2013-09-19 2015-12-03 Panasonic Intellectual Property Corporation Of America Control method for displaying merchandising information on information terminal
US20160055555A1 (en) * 2014-08-21 2016-02-25 Credibility Corp. Contextual and Holistic Credibility
US20160071052A1 (en) * 2014-09-08 2016-03-10 Inventor-E Limited Stock monitoring
US20160110703A1 (en) * 2014-10-15 2016-04-21 Toshiba Global Commerce Solutions Holdings Corporation Method, product, and system for identifying items for transactions
US20160125265A1 (en) * 2014-10-31 2016-05-05 The Nielsen Company (Us), Llc Context-based image recognition for consumer market research
US20160180670A1 (en) * 2014-12-18 2016-06-23 Symbol Technologies, Inc. System and method of detecting items identified by radio frequency identification (rfid) tags in a smart shopping cart
US20160189277A1 (en) * 2014-12-24 2016-06-30 Digimarc Corporation Self-checkout arrangements
US20160203499A1 (en) * 2013-09-06 2016-07-14 Nec Corporation Customer behavior analysis system, customer behavior analysis method, non-transitory computer readable medium, and shelf system
US9396490B1 (en) * 2012-02-28 2016-07-19 Bazaarvoice, Inc. Brand response
US20160224857A1 (en) * 2015-01-30 2016-08-04 Hewlett-Packard Development Company, L.P. Image processing of a retail shelf area
US20160335667A1 (en) * 2011-10-28 2016-11-17 Adidas Ag Interactive retail system
US20170083887A1 (en) * 2015-09-22 2017-03-23 Datalogic Ip Tech S.R.L. Shopping cart monitoring system and method for store checkout
US9659272B2 (en) * 2012-04-05 2017-05-23 Intel Corporation Method and apparatus for managing product placement on store shelf
US20170186072A1 (en) * 2015-12-24 2017-06-29 Wal-Mart Stores, Inc. Smart shopping cart and method of use
US9747497B1 (en) * 2009-04-21 2017-08-29 Videomining Corporation Method and system for rating in-store media elements
US9813607B2 (en) * 2011-12-16 2017-11-07 Nokia Technologies Oy Method and apparatus for image capture targeting
US20170344832A1 (en) * 2012-11-28 2017-11-30 Innovative Alert Systems Inc. System and method for event monitoring and detection
US9911290B1 (en) * 2015-07-25 2018-03-06 Gary M. Zalewski Wireless coded communication (WCC) devices for tracking retail interactions with goods and association to user accounts
US9916561B2 (en) * 2013-11-05 2018-03-13 At&T Intellectual Property I, L.P. Methods, devices and computer readable storage devices for tracking inventory
US20180075427A1 (en) * 2016-09-15 2018-03-15 International Business Machines Corporation Intelligent checkout management system
US20180096566A1 (en) * 2016-10-04 2018-04-05 Wal-Mart Stores, Inc. Automated point of sale system
US20180253604A1 (en) * 2017-03-06 2018-09-06 Toshiba Tec Kabushiki Kaisha Portable computing device installed in or mountable to a shopping cart
US20180260868A1 (en) * 2017-03-07 2018-09-13 Vaughn Peterson Method of Product Transportation Device Delivery
US20180260877A1 (en) * 2017-03-07 2018-09-13 Alibaba Group Holding Limited Order determination in an unmanned store
US10129507B2 (en) * 2014-07-15 2018-11-13 Toshiba Global Commerce Solutions Holdings Corporation System and method for self-checkout using product images
US10262294B1 (en) * 2016-03-28 2019-04-16 Amazon Technologies, Inc. Location estimation using array of capacitive sensors
US10304053B1 (en) * 2014-08-08 2019-05-28 Square, Inc. Shopping check-out with a payment card
US10339493B1 (en) * 2014-06-24 2019-07-02 Amazon Technologies, Inc. Associating users with totes

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060289637A1 (en) * 2005-06-28 2006-12-28 Media Cart Holdings, Inc. Media enabled shopping cart system with basket inventory
CN202275443U (en) * 2011-11-02 2012-06-13 汤杰 Supermarket customer flow information and goods flow management system
CN104787102B (en) * 2015-04-28 2017-09-05 西安超嗨网络科技有限公司 Intelligent shopping trolley, smart shopper system and its application method
CN105448006A (en) * 2015-12-30 2016-03-30 武汉邮电科学研究院 Intelligent supermarket cashier system and method based on mobile payment and IOT (Internet of Things)
CN106779871A (en) * 2017-01-09 2017-05-31 白逸飞 Supermarket shopping method and system
CN106910086A (en) * 2017-01-18 2017-06-30 甄启源 A kind of supermarket intelligent shopping system
CN106845965A (en) * 2017-02-13 2017-06-13 上海云剑信息技术有限公司 The mobile phone checkout system of supermarket self-help shopping under line
CN107944960A (en) * 2017-11-27 2018-04-20 深圳码隆科技有限公司 A kind of self-service method and apparatus

Patent Citations (165)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3741345A (en) * 1971-03-03 1973-06-26 H Saridis Semi automated retail store
US5497314A (en) * 1994-03-07 1996-03-05 Novak; Jeffrey M. Automated apparatus and method for object recognition at checkout counters
US5671362A (en) * 1995-04-04 1997-09-23 Cowe; Alan B. Materials monitoring systems, materials management systems and related methods
US6424370B1 (en) * 1999-10-08 2002-07-23 Texas Instruments Incorporated Motion based event detection system and method
US6412694B1 (en) * 2000-09-20 2002-07-02 Ncr Corporation Produce recognition system and method including weighted rankings
US20080100704A1 (en) * 2000-10-24 2008-05-01 Objectvideo, Inc. Video surveillance system employing video primitives
US20100026802A1 (en) * 2000-10-24 2010-02-04 Object Video, Inc. Video analytic rule detection system and method
US6909356B2 (en) * 2000-11-03 2005-06-21 Seecontrol, Inc. Method and apparatus for associating the movement of goods with the identity of an individual moving the goods
US20020113123A1 (en) * 2000-12-06 2002-08-22 Ncr Corporation Automated monitoring of activity of shoppers in a market
US7522057B2 (en) * 2001-03-16 2009-04-21 International Business Machines Corporation System and method for non intrusive monitoring of “at-risk” individuals
US6915135B1 (en) * 2001-05-15 2005-07-05 Praxis Technology Group, Inc. Method and system for detecting object presence and its duration in a given area
US20020170961A1 (en) * 2001-05-17 2002-11-21 Bruce Dickson Method and system for providing shopping assistance using RFID-tagged items
US20030015585A1 (en) * 2001-07-19 2003-01-23 Ncr Corporation Self checkout system utilizing networked shopping carts
US20030216969A1 (en) * 2002-01-23 2003-11-20 Bauer Donald G. Inventory management system
US7227893B1 (en) * 2002-08-22 2007-06-05 Xlabs Holdings, Llc Application-specific object-based segmentation and recognition system
US20040103034A1 (en) * 2002-11-21 2004-05-27 Kimberly-Clark Worldwide, Inc. RFID system and method for purchase item accountability
US20040168172A1 (en) * 2003-02-24 2004-08-26 Fuji Xerox Co., Ltd. Work space control apparatus
US20050073585A1 (en) * 2003-09-19 2005-04-07 Alphatech, Inc. Tracking systems and methods
US20050131578A1 (en) * 2003-09-30 2005-06-16 Intrinsic Marks International Llc Item monitoring system and methods
US20050105765A1 (en) * 2003-11-17 2005-05-19 Mei Han Video surveillance system with object detection and probability scoring based on object class
US20050185823A1 (en) * 2004-02-24 2005-08-25 International Business Machines Corporation System and method for generating a viewable video index for low bandwidth applications
US20050189412A1 (en) * 2004-02-27 2005-09-01 Evolution Robotics, Inc. Method of merchandising for checkout lanes
US20050200476A1 (en) * 2004-03-15 2005-09-15 Forr David P. Methods and systems for gathering market research data within commercial establishments
US20060032915A1 (en) * 2004-08-12 2006-02-16 International Business Machines Retail store method and system
US7780081B1 (en) * 2005-01-03 2010-08-24 RCL Products, Inc. System and method for security protection, inventory tracking and automated shopping cart checkout
US7903141B1 (en) * 2005-02-15 2011-03-08 Videomining Corporation Method and system for event detection by multi-scale image invariant analysis
US20060251339A1 (en) * 2005-05-09 2006-11-09 Gokturk Salih B System and method for enabling the use of captured images through recognition
US20060256082A1 (en) * 2005-05-12 2006-11-16 Samsung Electronics Co., Ltd. Method of providing motion recognition information in portable terminal
US20080018738A1 (en) * 2005-05-31 2008-01-24 Objectvideo, Inc. Video analytics for retail business process monitoring
US20070182818A1 (en) * 2005-09-02 2007-08-09 Buehler Christopher J Object tracking and alerts
US20080130948A1 (en) * 2005-09-13 2008-06-05 Ibrahim Burak Ozer System and method for object tracking and activity analysis
US20070143188A1 (en) * 2005-12-15 2007-06-21 International Business Machines Corporation System and method for processing items placed in a container
US20070179921A1 (en) * 2006-01-27 2007-08-02 Microsoft Corporation Object instance recognition using feature symbol triplets
US20100060455A1 (en) * 2006-06-20 2010-03-11 Absolutesky Holding, Inc. Identification and surveillance device, system and method for individual item level tracking
US20080011836A1 (en) * 2006-07-12 2008-01-17 Roger Lee Adema Method and System for Reducing Waste Due to Product Spoilage within a Grocery Environment
US20080055194A1 (en) * 2006-08-31 2008-03-06 Motorola, Inc. Method and system for context based user interface information presentation and positioning
US20080059570A1 (en) * 2006-09-05 2008-03-06 Aol Llc Enabling an im user to navigate a virtual world
US20080221943A1 (en) * 2006-09-25 2008-09-11 Michael Ramey Porter Retail behavioral tracking using microsystems
US20080130951A1 (en) * 2006-11-30 2008-06-05 Wren Christopher R System and Method for Modeling Movement of Objects Using Probabilistic Graphs Obtained From Surveillance Data
US20080159634A1 (en) * 2006-12-30 2008-07-03 Rajeev Sharma Method and system for automatically analyzing categories in a physical space based on the visual characterization of people
US20080260212A1 (en) * 2007-01-12 2008-10-23 Moskal Michael D System for indicating deceit and verity
US20080193010A1 (en) * 2007-02-08 2008-08-14 John Eric Eaton Behavioral recognition system
US20080198231A1 (en) * 2007-02-16 2008-08-21 Matsushita Electric Industrial Co., Ltd. Threat-detection in a distributed multi-camera surveillance system
US20080226129A1 (en) * 2007-03-12 2008-09-18 Malay Kundu Cart Inspection for Suspicious Items
US20080230603A1 (en) * 2007-03-25 2008-09-25 Media Cart Holdings, Inc. Media enabled shopping system user interface
US20080303901A1 (en) * 2007-06-08 2008-12-11 Variyath Girish S Tracking an object
US20080308630A1 (en) * 2007-06-18 2008-12-18 International Business Machines Corporation User-requirement driven shopping assistant
US20090039165A1 (en) * 2007-08-08 2009-02-12 Ncr Corporation Methods and Apparatus for a Bar Code Scanner Providing Video Surveillance
US20090055278A1 (en) * 2007-08-20 2009-02-26 Symbian Software Ltd. Complete Secure Retail Transaction Via A Mobile Device
US20090101713A1 (en) * 2007-08-24 2009-04-23 Richard Bennett Ulrich System, method, and apparatus of rfid point of sale
US20090059270A1 (en) * 2007-08-31 2009-03-05 Agata Opalach Planogram Extraction Based On Image Processing
US20090083122A1 (en) * 2007-09-26 2009-03-26 Robert Lee Angell Method and apparatus for identifying customer behavioral types from a continuous video stream for use in optimizing loss leader merchandizing
US20090125406A1 (en) * 2007-11-08 2009-05-14 Wal-Mart Stores, Inc. Method and Apparatus for Automated Shopper Checkout Using Radio Frequency Identification Technology
US20090121017A1 (en) * 2007-11-08 2009-05-14 International Business Machines Corporation Using Cameras to Monitor Actual Inventory
US8264422B1 (en) * 2007-11-08 2012-09-11 Sprint Communications Company L.P. Safe head-up display of information
US20090140046A1 (en) * 2007-11-30 2009-06-04 International Business Machines Corporation Electronic Inventory Tracking System
US20090145965A1 (en) * 2007-12-07 2009-06-11 International Business Machines Corporation Radio Frequency Identification System for Inventory Handling, Tracking, and Checkout
US20090228363A1 (en) * 2008-02-25 2009-09-10 Yaniv Segev Shopping system and method therefor
US20090232366A1 (en) * 2008-03-11 2009-09-17 Hitachi, Ltd. System and method for factory work logging
US20090259571A1 (en) * 2008-04-11 2009-10-15 Julia Ebling Inventory module for a video monitoring system, method for taking inventory of a monitoring region, and a computer program
US20090302106A1 (en) * 2008-06-04 2009-12-10 Fujitsu Limited Commercial article information presenting system
US8009863B1 (en) * 2008-06-30 2011-08-30 Videomining Corporation Method and system for analyzing shopping behavior using multiple sensor tracking
US20100013931A1 (en) * 2008-07-16 2010-01-21 Verint Systems Inc. System and method for capturing, storing, analyzing and displaying data relating to the movements of objects
US20100019905A1 (en) * 2008-07-25 2010-01-28 John Bennett Boddie System for inventory tracking and theft deterrence
US20100082301A1 (en) * 2008-09-30 2010-04-01 Sense Netwoks, Inc. Event Identification In Sensor Analytics
US20100138037A1 (en) * 2008-10-22 2010-06-03 Newzoom, Inc. Vending Store Inventory Management and Reporting System
US20110234840A1 (en) * 2008-10-23 2011-09-29 Fraunhofer-Gesellschaft Zur Foerderung Der Angewandten Forschung E.V. Apparatus, method and computer program for recognizing a gesture in a picture, and apparatus, method and computer program for controlling a device
US8325036B1 (en) * 2008-11-06 2012-12-04 Target Brands, Inc. In stock analytic monitoring
US20100117959A1 (en) * 2008-11-10 2010-05-13 Samsung Electronics Co., Ltd. Motion sensor-based user motion recognition method and portable terminal using the same
US20100141386A1 (en) * 2008-12-10 2010-06-10 Electronics And Telecommunications Research Institute Near-field rfid reader antenna
US8577705B1 (en) * 2008-12-30 2013-11-05 Videomining Corporation Method and system for rating the role of a product category in the performance of a store area
US20100250305A1 (en) * 2009-03-31 2010-09-30 Morris Lee Methods and apparatus to monitor shoppers in a retail environment
US9747497B1 (en) * 2009-04-21 2017-08-29 Videomining Corporation Method and system for rating in-store media elements
US20100277277A1 (en) * 2009-04-29 2010-11-04 Job Site Resources, Llc Mobile tool facility
US20140351098A1 (en) * 2009-09-21 2014-11-27 Checkpoint Systems, Inc. Retail product tracking system, method, and apparatus
US20110102588A1 (en) * 2009-10-02 2011-05-05 Alarm.Com Image surveillance and reporting technology
US8538820B1 (en) * 2009-10-26 2013-09-17 Stoplift, Inc. Method and apparatus for web-enabled random-access review of point of sale transactional video
US20110115914A1 (en) * 2009-11-10 2011-05-19 Clear-View-Technologies, Inc. Sequential Hardware Event Processor with Video Event Compression and Recall
US20110140380A1 (en) * 2009-12-16 2011-06-16 Richard Ulrich Interactive Customer Shopping Cart
US8810392B1 (en) * 2010-02-04 2014-08-19 Google Inc. Device and method for monitoring the presence of items and issuing an alert if an item is not detected
US8817094B1 (en) * 2010-02-25 2014-08-26 Target Brands, Inc. Video storage optimization
US20110228984A1 (en) * 2010-03-17 2011-09-22 Lighthaus Logic Inc. Systems, methods and articles for video analysis
US20100318440A1 (en) * 2010-03-18 2010-12-16 Coveley Michael Ej Cashierless, Hygienic, Automated, Computerized, Programmed Shopping Store, Storeroom And Supply Pipeline With Administration Cataloguing To Eliminate Retail Fraud; With Innovative Components For Use Therein
US20110242025A1 (en) * 2010-04-02 2011-10-06 Mstar Semiconductor, Inc. Hand Gesture Recognition Method for Touch Panel and Associated Apparatus
US20110280547A1 (en) * 2010-05-13 2011-11-17 International Business Machines Corporation Auditing video analytics through essence generation
US20110295644A1 (en) * 2010-05-26 2011-12-01 Yusuke Hara System And Method For Process Management In A Materials Handling Facility
US20110320322A1 (en) * 2010-06-25 2011-12-29 Symbol Technologies, Inc. Inventory monitoring using complementary modes for item identification
US20120080517A1 (en) * 2010-10-04 2012-04-05 Braunstein Zachary L Apparatus improving item transactions with real-time controls and navigation
US20130208115A1 (en) * 2010-10-08 2013-08-15 Youngkyung Park Image-monitoring device and method for detecting events therefor
US9020264B2 (en) * 2011-01-26 2015-04-28 Panasonic Intellectual Property Corporation Of America Image management device, image management method, program, recording medium, and integrated circuit
US20120226556A1 (en) * 2011-03-02 2012-09-06 Toshiba Tec Kabushiki Kaisha Shopping cart and method
US20140240088A1 (en) * 2011-03-22 2014-08-28 Jamie Robinette Apparatus and method for locating, tracking, controlling and recognizing tagged objects using active rfid technology
US20130110565A1 (en) * 2011-04-25 2013-05-02 Transparency Sciences, Llc System, Method and Computer Program Product for Distributed User Activity Management
US20120284132A1 (en) * 2011-05-03 2012-11-08 Uniyoung Kim Display device attachable to shopping carts, shopping cart, and digital signage display
US20120310727A1 (en) * 2011-06-03 2012-12-06 Augme Technologies, Inc. Method and system for generation of anonymous profiles from a tri-level mapping of mobile network marketing econometrics
US20120310757A1 (en) * 2011-06-03 2012-12-06 Lg Electronics Inc. Method for controlling stores and system for the same
US20130076898A1 (en) * 2011-08-01 2013-03-28 Richard Philippe Apparatus, systems, and methods for tracking medical products using an imaging unit
US20130046644A1 (en) * 2011-08-17 2013-02-21 Toshiba Tec Kabushiki Kaisha Commodity accommodation apparatus, commodity registration apparatus and commodity registration method
US20130223673A1 (en) * 2011-08-30 2013-08-29 Digimarc Corporation Methods and arrangements for identifying objects
US20140052555A1 (en) * 2011-08-30 2014-02-20 Digimarc Corporation Methods and arrangements for identifying objects
US8908903B2 (en) * 2011-08-31 2014-12-09 The Nielsen Company (Us), Llc Image recognition to support shelf auditing for consumer research
US8695878B2 (en) * 2011-08-31 2014-04-15 Djb Group Llc Shelf-monitoring system
US20130197968A1 (en) * 2011-09-24 2013-08-01 Elwha LLC, a limited liability corporation of the State of Delaware Behavioral fingerprinting with retail monitoring
US20130077820A1 (en) * 2011-09-26 2013-03-28 Microsoft Corporation Machine learning gesture detection
US20160335667A1 (en) * 2011-10-28 2016-11-17 Adidas Ag Interactive retail system
US20130154804A1 (en) * 2011-12-15 2013-06-20 Electronics And Telecommunications Research Institute Radio frequency switch and method for controlling the same, and radio frequency identification smart shelf system
US9813607B2 (en) * 2011-12-16 2017-11-07 Nokia Technologies Oy Method and apparatus for image capture targeting
US9740937B2 (en) * 2012-01-17 2017-08-22 Avigilon Fortress Corporation System and method for monitoring a retail environment using video content analysis with depth sensing
US20130182904A1 (en) * 2012-01-17 2013-07-18 Objectvideo, Inc. System and method for video content analysis using depth sensing
US20130216094A1 (en) * 2012-01-25 2013-08-22 Bruno Delean Systems, methods and computer program products for identifying objects in video data
US9396490B1 (en) * 2012-02-28 2016-07-19 Bazaarvoice, Inc. Brand response
US20130290106A1 (en) * 2012-03-08 2013-10-31 Augme Technologies, Inc. System and method for providing directions to items of interest
US20130250115A1 (en) * 2012-03-23 2013-09-26 International Business Machines Corporation Systems and methods for false alarm reduction during event detection
US9659272B2 (en) * 2012-04-05 2017-05-23 Intel Corporation Method and apparatus for managing product placement on store shelf
US20130265232A1 (en) * 2012-04-08 2013-10-10 Samsung Electronics Co., Ltd. Transparent display apparatus and method thereof
US20130322686A1 (en) * 2012-05-30 2013-12-05 International Business Machines Corporation Profiling Activity Through Video Surveillance
US20130320085A1 (en) * 2012-05-31 2013-12-05 Toshiba Global Commerce Solutions Holdings Corporation System, method, and storage unit for managing multiple objects in an object zone
US20130342316A1 (en) * 2012-06-25 2013-12-26 Touraj Ghaffari Sensor-Enabled RFID System to Gauge Movement of an Object in Relation to a Subject
US20140001258A1 (en) * 2012-06-29 2014-01-02 International Business Machines Corporation Item scanning in a shopping cart
US20150206335A1 (en) * 2012-07-04 2015-07-23 Sports Vision & Facts Ug Method and system for real-time virtual 3d reconstruction of a live scene, and computer-readable media
US9124778B1 (en) * 2012-08-29 2015-09-01 Nomi Corporation Apparatuses and methods for disparity-based tracking and analysis of objects in a region of interest
US20140201039A1 (en) * 2012-10-08 2014-07-17 Livecom Technologies, Llc System and method for an automated process for visually identifying a product's presence and making the product available for viewing
US20170344832A1 (en) * 2012-11-28 2017-11-30 Innovative Alert Systems Inc. System and method for event monitoring and detection
US20140164176A1 (en) * 2012-12-11 2014-06-12 Rawllin International Inc. Fast-checkout using smart cart
US20150012426A1 (en) * 2013-01-04 2015-01-08 Visa International Service Association Multi disparate gesture actions and transactions apparatuses, methods and systems
US20140222501A1 (en) * 2013-02-01 2014-08-07 Panasonic Corporation Customer behavior analysis device, customer behavior analysis system and customer behavior analysis method
US20140293032A1 (en) * 2013-03-26 2014-10-02 Urjagreen Technologies Pvt. Ltd. System and method for occupancy detection using differential image sensing and optical markers
US20140304123A1 (en) * 2013-04-09 2014-10-09 International Business Machines Corporation Electronically tracking inventory in a retail store
US20140365334A1 (en) * 2013-06-07 2014-12-11 Bby Solutions, Inc. Retail customer service interaction system and method
US20140365336A1 (en) * 2013-06-07 2014-12-11 Bby Solutions, Inc. Virtual interactive product display with mobile device interaction
US20140379296A1 (en) * 2013-06-22 2014-12-25 Intellivision Technologies Corp. Method of tracking moveable objects by combining data obtained from multiple sensor types
US20150006319A1 (en) * 2013-06-26 2015-01-01 Barkley, Inc. System and method for communication and processing between devices and objects
US20150019391A1 (en) * 2013-06-26 2015-01-15 Amazon Technologies, Inc. Detecting item interaction and movement
US20150039458A1 (en) * 2013-07-24 2015-02-05 Volitional Partners, Inc. Method and system for automated retail checkout using context recognition
US20150029339A1 (en) * 2013-07-25 2015-01-29 Ncr Corporation Whole Store Scanner
US20160203499A1 (en) * 2013-09-06 2016-07-14 Nec Corporation Customer behavior analysis system, customer behavior analysis method, non-transitory computer readable medium, and shelf system
US20150348060A1 (en) * 2013-09-19 2015-12-03 Panasonic Intellectual Property Corporation Of America Control method for displaying merchandising information on information terminal
US20150088703A1 (en) * 2013-09-25 2015-03-26 Sap Ag Graphic Representations of Planograms
US20150117703A1 (en) * 2013-10-25 2015-04-30 TCL Research America Inc. Object identification system and method
US9916561B2 (en) * 2013-11-05 2018-03-13 At&T Intellectual Property I, L.P. Methods, devices and computer readable storage devices for tracking inventory
US20150199698A1 (en) * 2014-01-14 2015-07-16 Panasonic Intellectual Property Corporation Of America Display method, stay information display system, and display control device
US20150206188A1 (en) * 2014-01-17 2015-07-23 Panasonic Intellectual Property Corporation Of America Item presentation method, and information display method
US20150235161A1 (en) * 2014-02-14 2015-08-20 Bby Solutions, Inc. Wireless customer and labor management optimization in retail settings
US20150269549A1 (en) * 2014-03-20 2015-09-24 Toshiba Global Commerce Solutions Holdings Corporation Synchronizing scan activity with loss prevention cameras
US20150310447A1 (en) * 2014-04-28 2015-10-29 RetailNext, Inc. Methods and systems for simulating agent behavior in a virtual environment
US10339493B1 (en) * 2014-06-24 2019-07-02 Amazon Technologies, Inc. Associating users with totes
US10129507B2 (en) * 2014-07-15 2018-11-13 Toshiba Global Commerce Solutions Holdings Corporation System and method for self-checkout using product images
US10304053B1 (en) * 2014-08-08 2019-05-28 Square, Inc. Shopping check-out with a payment card
US20160055555A1 (en) * 2014-08-21 2016-02-25 Credibility Corp. Contextual and Holistic Credibility
US20160071052A1 (en) * 2014-09-08 2016-03-10 Inventor-E Limited Stock monitoring
US20160110703A1 (en) * 2014-10-15 2016-04-21 Toshiba Global Commerce Solutions Holdings Corporation Method, product, and system for identifying items for transactions
US9026941B1 (en) * 2014-10-15 2015-05-05 Blackwerks LLC Suggesting activities
US20160125265A1 (en) * 2014-10-31 2016-05-05 The Nielsen Company (Us), Llc Context-based image recognition for consumer market research
US20160180670A1 (en) * 2014-12-18 2016-06-23 Symbol Technologies, Inc. System and method of detecting items identified by radio frequency identification (rfid) tags in a smart shopping cart
US20160189277A1 (en) * 2014-12-24 2016-06-30 Digimarc Corporation Self-checkout arrangements
US20160224857A1 (en) * 2015-01-30 2016-08-04 Hewlett-Packard Development Company, L.P. Image processing of a retail shelf area
US9911290B1 (en) * 2015-07-25 2018-03-06 Gary M. Zalewski Wireless coded communication (WCC) devices for tracking retail interactions with goods and association to user accounts
US20170083887A1 (en) * 2015-09-22 2017-03-23 Datalogic Ip Tech S.R.L. Shopping cart monitoring system and method for store checkout
US20170186072A1 (en) * 2015-12-24 2017-06-29 Wal-Mart Stores, Inc. Smart shopping cart and method of use
US10262294B1 (en) * 2016-03-28 2019-04-16 Amazon Technologies, Inc. Location estimation using array of capacitive sensors
US20180075427A1 (en) * 2016-09-15 2018-03-15 International Business Machines Corporation Intelligent checkout management system
US20180096566A1 (en) * 2016-10-04 2018-04-05 Wal-Mart Stores, Inc. Automated point of sale system
US20180253604A1 (en) * 2017-03-06 2018-09-06 Toshiba Tec Kabushiki Kaisha Portable computing device installed in or mountable to a shopping cart
US20180260877A1 (en) * 2017-03-07 2018-09-13 Alibaba Group Holding Limited Order determination in an unmanned store
US20180260868A1 (en) * 2017-03-07 2018-09-13 Vaughn Peterson Method of Product Transportation Device Delivery

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